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Aditya-Khankar/README.md

Aditya Khankar

Code is deterministic. Everything it touches isn't.

ECE sophomore at NIT Karnataka. Working at the intersection of agentic AI, LLMs, NLP, and deep learning — not at the benchmark level, but at the level of what breaks when these systems meet real humans, real markets, real decisions.

The layer most engineers never reach: how humans actually process information, form beliefs, and make decisions under pressure. Not the rational-agent model — the real one. Cognitive bias, neuroscientific hardwiring, market psychology, behavioural economics. The forces that determine adoption, trust, and collapse in systems built for people.

The deeper you go into AI, the more you realise it was always about the human.

Stack

AI · ML · DL Python NumPy SciPy scikit-learn PyTorch

LLMs · NLP · Agentic AI FAISS sentence--transformers HuggingFace

Embedded · DSP C STM32 CMSIS--DSP

Edge · TinyML TinyML Edge Impulse

Tools Git Linux Kaggle Colab

Connect

github.com/Aditya-Khankar · adityakhankarofficial@gmail.com

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  1. xaudit xaudit Public

    Reasoning quality analysis for autonomous agents — detect silent reasoning failures using optimal transport, information theory, and algorithmic complexity.

    Python

  2. adaptive-signal-rag adaptive-signal-rag Public

    Python

  3. datacenter-water-usage-prediction datacenter-water-usage-prediction Public

    Predicting cooling water consumption in data centres using KNN regression.

    Python